Smith Matthew D, Zanghellini Alexandre, Grabs-Röthlisberger Daniela
Molecular and Cellular Biology Program, University of Washington, 351655, Seattle, WA, 98195, USA.
Methods Mol Biol. 2014;1216:197-210. doi: 10.1007/978-1-4939-1486-9_10.
In this review we present a recently developed computational method to design de novo enzymes. Starting from the three-dimensional arrangement of the transition state structure and the catalytic side chains around it (theozyme), RosettaMatch identifies successful placements of the theozyme into protein scaffolds. Subsequently, RosettaEnzDes (for EnzymeDesign) redesigns the active site around the theozyme for binding and stabilization of the transition state and the catalytic residues. The resulting computationally designed enzymes are expressed and experimentally tested for catalytic activity.
在本综述中,我们介绍了一种最近开发的用于从头设计酶的计算方法。从过渡态结构及其周围催化侧链的三维排列(理论酶)出发,RosettaMatch可识别理论酶在蛋白质支架中的成功放置位置。随后,RosettaEnzDes(用于酶设计)围绕理论酶重新设计活性位点,以结合和稳定过渡态及催化残基。对由此产生的通过计算设计的酶进行表达,并对其催化活性进行实验测试。